"How I Built a Smart Resume Reader Using RAG and LLM – A Step-by-Step Guide for Beginners"
"How I Built a Smart Resume Reader U sing RAG and LLM – A Step-by-Step Guide for Beginners " Ever thought of making an AI that reads resumes like a recruiter? Well, I did exactly that — and in this blog, I'll show you how I built a Resume Reader using RAG (Retrieval-Augmented Generation) and LLM (Large Language Model) from scratch. Whether you're an aspiring AI developer or someone building cool tools to automate HR tasks — this is a perfect project to level up your Python + AI skills. 🧠 What Is a Resume Reader LLM? A Resume Reader LLM is a smart application that: ✅ Reads a resume (PDF/TXT) ✅ Understands the content using LLM ✅ Answers questions like “What is the candidate’s experience?”, “What are their top skills?”, etc. ✅ Uses RAG to improve accuracy by combining retrieval (searching your data) + generation (via LLM) 🧰 Tools & Tech Used Python 3.10+ LangChain – to connect documents + LLM OpenAI / HuggingFace LLM FAISS – f...